Towards an Information Theory of Complex Networks Statistical Methods and Applications
For over a decade, complex networks have steadily grown as an important tool across a broad array of academic disciplines, with applications ranging from physics to social media. A tightly organized collection of carefully-selected papers on the subject, Towards an Information Theory of Complex Net...
| Other Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Boston, MA
Birkhäuser
2011, 2011
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| Edition: | 1st ed. 2011 |
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Preface
- Entropy of Digraphs and Infinite Networks
- An Information-Theoretic Upper Bound on Planar Graphs Using Well-orderly Maps
- Probabilistic Inference Using Function Factorization and Divergence Minimization
- Wave Localization on Complex Networks
- Information-Theoretic Methods in Chemical Graph Theory
- On the Development and Application of Net-Sign Graph Theory
- The Central Role of Information Theory in Ecology
- Inferences About Coupling from Ecological Surveillance Monitoring
- Markov Entropy Centrality
- Social Ontologies as Generalizedd Nearly Acyclic Directed Graphs
- Typology by Means of Language Networks
- Information Theory-Based Measurement of Software
- Fair and Biased Random Walks on Undirected Graphs and Related Entropies